7 citations · 12 across the 15 of their papers we have counts for
16 papers
UniLipi: A Unified Multi-Script OCR for Historical Indic Manuscripts
Tathagata Ghosh, Sai Madhusudan Gunda, Simran Singh Sandral +1
Optical character recognition (OCR) for handwritten Indic manuscripts is essential for large-scale digitization and computational access to manuscript heritage. However, existing a…
RoadTones: Tone Controllable Text Generation from Road Event Videos
Chirag Parikh, Siddhi Pravin Lipare, Ravi Kiran Sarvadevabhatla
Existing video-language models can generate factual descriptions of road events but lack control over how these events are expressed: their tone, urgency, or style. This limits dep…
STRinGS: Selective Text Refinement in Gaussian Splatting
Abhinav Raundhal, Gaurav Behera, P J Narayanan +2
Text as signs, labels, or instructions is a critical element of real-world scenes as they can convey important contextual information. 3D representations such as 3D Gaussian Splatt…
RoadSocial: A Diverse VideoQA Dataset and Benchmark for Road Event Understanding from Social Video Narratives
Chirag Parikh, Deepti Rawat, Rakshitha R. T. +2
We introduce RoadSocial, a large-scale, diverse VideoQA dataset tailored for generic road event understanding from social media narratives. Unlike existing datasets limited by regi…
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing
Pranav Gupta, Rishubh Singh, Pradeep Shenoy +1
Multi-object multi-part scene segmentation is a challenging task whose complexity scales exponentially with part granularity and number of scene objects. To address the task, we pr…
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios
Chirag Parikh, Ravi Shankar Mishra, Rohan Chandra +1
Recognizing driving behaviors is important for downstream tasks such as reasoning, planning, and navigation. Existing video recognition approaches work well for common behaviors (e…
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic
Chirag Parikh, Rohit Saluja, C. V. Jawahar +1
Intelligent vehicle systems require a deep understanding of the interplay between road conditions, surrounding entities, and the ego vehicle's driving behavior for safe and efficie…
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
Prafful Kumar Khoba, Chirag Parikh, Rohit Saluja +2
The previous fine-grained datasets mainly focus on classification and are often captured in a controlled setup, with the camera focusing on the objects. We introduce the first Fine…
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games
Nikhil Bansal, Kartik Gupta, Kiruthika Kannan +2
Pictionary, the popular sketch-based guessing game, provides an opportunity to analyze shared goal cooperative game play in restricted communication settings. However, some players…
UAV-based Visual Remote Sensing for Automated Building Inspection
Kushagra Srivastava, Dhruv Patel, Aditya Kumar Jha +6
Unmanned Aerial Vehicle (UAV) based remote sensing system incorporated with computer vision has demonstrated potential for assisting building construction and in disaster managemen…
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads
Aman Goyal, Dev Agarwal, Anbumani Subramanian +3
In many Asian countries with unconstrained road traffic conditions, driving violations such as not wearing helmets and triple-riding are a significant source of fatalities involvin…
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
Rishubh Singh, Pranav Gupta, Pradeep Shenoy +1
Multi-object multi-part scene parsing is a challenging task which requires detecting multiple object classes in a scene and segmenting the semantic parts within each object. In thi…
Automatic Quantification and Visualization of Street Trees
Arpit Bahety, Rohit Saluja, Ravi Kiran Sarvadevabhatla +2
Assessing the number of street trees is essential for evaluating urban greenery and can help municipalities employ solutions to identify tree-starved streets. It can also help iden…
MeronymNet: A Hierarchical Approach for Unified and Controllable Multi-Category Object Generation
Rishabh Baghel, Abhishek Trivedi, Tejas Ravichandran +1
We introduce MeronymNet, a novel hierarchical approach for controllable, part-based generation of multi-category objects using a single unified model. We adopt a guided coarse-to-f…
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle +2
Fairness across different demographic groups is an essential criterion for face-related tasks, Face Attribute Classification (FAC) being a prominent example. Apart from this trend,…
Monocular Multi-Layer Layout Estimation for Warehouse Racks
Meher Shashwat Nigam, Avinash Prabhu, Anurag Sahu +5
Given a monocular colour image of a warehouse rack, we aim to predict the bird's-eye view layout for each shelf in the rack, which we term as multi-layer layout prediction. To this…